Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aizech/clinical-skills --skill report-quality-reviewgit clone --depth 1 https://github.com/aizech/clinical-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aizech/clinical-skills/report-quality-review)<a href="https://agentmods.dev/skills/aizech/clinical-skills/report-quality-review"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/report-quality-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aizech/clinical-skills/report-quality-review"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/report-quality-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.00449 |
| Opus 5 | $0.00024 | $0.00225 |
| Sonnet 5 | $0.00010 | $0.00090 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
report-quality-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Report Quality Review Skill
Triggers
- "report quality review"
- "discrepancy audit"
- "report completeness"
- "addendum analysis"
- "quality improvement"
- "peer review"
- "report turnaround"
Parameters
review_type(required): Type of quality reviewcompleteness- Required element adherencediscrepancy- Error and miss analysisturnaround- TAT compliance monitoringcommunication- Critical result documentationattribution- Report signature verificationcqi- Continuous quality improvement tracking
modality(optional): Filter by imaging typetime_range(optional): Review period - defaults to last 30 daysurgency(optional): Filter by clinical setting (ED, inpatient, outpatient)
Quality Metrics Tracked
- Completeness: Required elements, comparison documentation, impression presence
- Accuracy: Discrepancy rates, addendum rates, amended findings
- Timeliness: TAT by setting, protocol compliance, pending report alerts
- Communication: Critical result documentation, escalation compliance
- Format: Structured data presence,标准化 terminology use
Output Format
Returns structured JSON with:
- Quality score by metric category
- Trend analysis (improving/declining)
- Individual radiologist feedback (anonymized aggregates)
- Improvement recommendations
- Peer review learning points
Usage Examples
review_type: completeness
modality: CT
time_range: last_month
review_type: discrepancy
time_range: last_quarter
urgency: ED
Integration Points
- RIS for report content and timestamps
- PACS for comparison study tracking
- Communication logs for critical result verification
- Peer review system for discrepancy classification
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 66 lines · 48 tokens per session scan A 5d2b33158f9f
report-quality-review is a skill published in the GitHub repository aizech/clinical-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 449 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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